{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T10:11:18Z","timestamp":1756635078764,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819908554"},{"type":"electronic","value":"9789819908561"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-0856-1_29","type":"book-chapter","created":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T11:03:36Z","timestamp":1678359816000},"page":"391-406","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["ViT-Siamese Cascade Network for Transmission Image Deduplication"],"prefix":"10.1007","author":[{"given":"Zhenyu","family":"Chen","sequence":"first","affiliation":[]},{"given":"Siyu","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Peng","sequence":"additional","affiliation":[]},{"given":"Jingchen","family":"Bian","sequence":"additional","affiliation":[]},{"given":"Lina","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Xiaoyu","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,10]]},"reference":[{"key":"29_CR1","doi-asserted-by":"publisher","unstructured":"Zhaoyun, Z., Guanfeng, H., Shihong, H., Zhi, Z.: Target detection in power checking the application and development trend of. J. Hubei Univ. Nat. (Natural Science edn.) 33(3) 6, 305-314 (2021). https:\/\/doi.org\/10.13501\/j.carolcarrollnki.42-1908\/n.2021.09.012","DOI":"10.13501\/j.carolcarrollnki.42-1908\/n.2021.09.012"},{"key":"29_CR2","doi-asserted-by":"publisher","first-page":"157","DOI":"10.19392\/j.cnki.1671-7341.201930136","volume":"30","author":"F Mingmin","year":"2019","unstructured":"Mingmin, F.: Design and application of cloud storage subsystem for power equipment inspection data. Sci. Technol. Wind 30, 157 (2019). https:\/\/doi.org\/10.19392\/j.cnki.1671-7341.201930136","journal-title":"Sci. Technol. Wind"},{"key":"29_CR3","unstructured":"Zhijian, S.: Research on Massive Image De-Duplication Algorithm. Chongqing Jiaotong University (2016)"},{"issue":"07","key":"29_CR4","first-page":"1797","volume":"36","author":"H Fengqing","year":"2016","unstructured":"Fengqing, H., Zhijian, S., Rui, Y.: Fast deduplication for massive images. J. Comput. Appl. 36(07), 1797\u20131800 (2016)","journal-title":"J. Comput. Appl."},{"key":"29_CR5","unstructured":"Tengfei, P.: The aurora image retrieval based on convolution neural network research. Nanjing University of Posts and Telecommunications (2021). 10.27251"},{"issue":"04","key":"29_CR6","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1142\/S0218001493000339","volume":"07","author":"J Bromley","year":"1993","unstructured":"Bromley, J., et al.: Signature verification using a \u201csiamese\u201d time delay neural network. Int. J. Patt. Recogn. Artif. Intell. 07(04), 669\u2013688 (1993)","journal-title":"Int. J. Patt. Recogn. Artif. Intell."},{"key":"29_CR7","unstructured":"Chopar, S., Hadsell, R., Lecun, Y.: With application to face verification. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 113\u2013119. IEEE, San Diego(2005)"},{"key":"29_CR8","unstructured":"Nair, V., Geoffrey, E.H.: Rectified linear units improve restricted boltzmann machines. In: Proceedings of the 27th International Conference on Machine Learning, Haifa, Israel, 21\u201324 Jun 2010"},{"key":"29_CR9","doi-asserted-by":"crossref","unstructured":"Zagoruyko, S., Komodakis, N.: Learning to compare image patches via convolutional neural networks. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE (2015)","DOI":"10.1109\/CVPR.2015.7299064"},{"issue":"2","key":"29_CR10","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. Int. J. Comput. Vis. 88(2), 303\u2013338 (2010)","journal-title":"Int. J. Comput. Vis."},{"key":"29_CR11","unstructured":"Vaswani, A., Shazeer, N., Parmar, N.: Attention is all you need. Adv. Neural Inform. Process. Syst. Long Beach 6000\u20136010 (2017)"},{"key":"29_CR12","unstructured":"Parmar, N., et al.: Image Transformer. ArXiv: 1802.05751 [cs. CV]. 15 Feb 2018. https:\/\/arxiv.org\/abs\/1802.05751"},{"key":"29_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","volume-title":"Computer Vision \u2013 ECCV 2020","author":"N Carion","year":"2020","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12346, pp. 213\u2013229. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58452-8_13"},{"key":"29_CR14","unstructured":"Zhu, X.Z., Su, W.J., Lu, L.W., Li, B., Wang, X., Dai J.: Deformable DETR: Deformable Transformers for End-to-End Object Detection. https:\/\/arxiv.org\/ABS\/2010.04159 (2020)"},{"key":"29_CR15","unstructured":"Zheng, M.H., Gao, P.; Wang, X.G., et al.: Adaptive Clustering Transformer with end-to-end Object Detection. ArXiv. https:\/\/arxiv.org\/ABS\/2011.09315 V1 (2022)"},{"issue":"2","key":"29_CR16","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s11263-019-01247-4","volume":"128","author":"L Liu","year":"2019","unstructured":"Liu, L., et al.: Deep learning for generic object detection: a survey. Int. J. Comput. Vision 128(2), 261\u2013318 (2019). https:\/\/doi.org\/10.1007\/s11263-019-01247-4","journal-title":"Int. J. Comput. Vision"},{"issue":"5","key":"29_CR17","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1145\/3065950","volume":"8","author":"XY Gao","year":"2017","unstructured":"Gao, X.Y., Hoi, S.C.H., Zhang, Y.D., Zhou, J.S., Wan, J.: Sparse online learning of image similarity. ACM Trans. Intell. Syst. Technol. 8(5), 641\u20136422 (2017)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"29_CR18","doi-asserted-by":"publisher","first-page":"8107","DOI":"10.1109\/TIP.2020.2981813","volume":"29","author":"Y Zhang","year":"2020","unstructured":"Zhang, Y., Gao, X., Chen, Z., Zhong, H., Xie, H., Yan, C.: Mining spatial-temporal similarity for visual tracking. IEEE Trans. Image Process. 29, 8107\u20138119 (2020)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"29_CR19","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1109\/TMM.2019.2931351","volume":"22","author":"ZX Xia","year":"2020","unstructured":"Xia, Z.X., Hong, X.P., Gao, X.Y., Feng, X.Y., Zhao, G.Y.: Spatiotemporal recurrent convolutional networks for recognizing spontaneous micro-expressions. IEEE Trans. Multimed. 22(3), 626\u2013640 (2020)","journal-title":"IEEE Trans. Multimed."},{"key":"29_CR20","doi-asserted-by":"crossref","unstructured":"Gao, X.Y., Xie, J.Y., Chen, Z.Y., Liu, A.A., Sun, Z., Lyu, L.: Dilated convolution-based feature refinement network for crowd localization. ACM Trans. Multimedia Comput., Commun. Appl. (2022)","DOI":"10.1145\/3571134"},{"key":"29_CR21","unstructured":"Dosovitskiy, A., et al.: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv:2010.11929 (2020)"}],"container-title":["Communications in Computer and Information Science","Digital Multimedia Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-0856-1_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T13:11:38Z","timestamp":1680527498000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-0856-1_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819908554","9789819908561"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-0856-1_29","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"10 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IFTC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Forum on Digital TV and Wireless Multimedia Communications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iftc2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.siga.org.cn\/xshd\/iftc2022.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"112","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}